Instructions to use hjgp/do1017 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hjgp/do1017 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("hjgp/do1017") prompt = "LCDDO" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 5edb8674008db0ad6538c0e91dc345f10b6ecf3f7c2d6bfd9e990666a0cf7418
- Size of remote file:
- 10.3 GB
- SHA256:
- 4e3517620b15a96f8327d6035ced4ab6d3be511b134c440d3f6ecb9df6afc963
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